Overview
The Master of Science in Artificial Intelligence & Computer Engineering (AiCE) equips students with a practical, robust foundation in advanced technology. The program empowers graduates to push the boundaries of innovation, develop specialized skills, and gain the deep insights required to solve critical industry challenges. To align with their career goals, students can choose from four specialized pathways: the Professional Track, Thesis Track, Entrepreneurial Track, or AI Innovation Track.
The Professional Track is designed for students seeking advanced coursework breadth with applied research and innovation.
Core Engineering Course
60 units
Electives
24 units
Research, Entrepreneurship & Innovation (REI)
12 units
Core Courses (60 units): Students select core courses offered by the AICE Program (course codes starting with 41-XXX) or the Electrical and Computer Engineering Program (ECE) Program (course codes starting with 18-XXX).
Electives (24 units): Students can choose elective courses across approved disciplines (course codes starting with 56-XXX, 18-XXX, 41-XXX, or 42-XXX).
Research, Entrepreneurship & Innovation (12 units): Through CMKL 41-900, students engage in real-world, collaborative projects with university and industry partners to develop essential leadership and problem-solving capabilities.
The Thesis Track is ideally suited for students aiming to pursue academic careers, doctoral studies, or advanced research and development roles.
Core Engineering Course
24 units
Electives
12 units
Research, Entrepreneurship & Innovation (REI)
12 units
Research & Development
48 units
Thesis Defense
Required**
Core Courses (24 units): Students select core courses offered by the AICE program (41-XXX) or the ECE program (18-XXX).
Electives (12 units): Students can choose elective courses across approved disciplines (56-XXX, 18-XXX, 41-XXX, or 42-XXX).
Research, Entrepreneurship & Innovation (12 units): Through CMKL 41-900, students engage in real-world, collaborative projects with university and industry partners to build leadership and problem-solving capabilities.
Research & Development (48 units): Under CMKL 41-910, students dedicate focused units to their specialized thesis research under the guidance of a faculty advisor.
Thesis Defense (Required): To successfully graduate, students must complete the following milestones:
Submit a formal defense request and the thesis manuscript to [email protected] at least one month before the end of the semester.
The thesis book will be published in the university repository.
Present and defend their research before a three-member committee (consisting of one advisor-nominated member and one program-appointed member).
Complete all required thesis revisions before the final semester deadline.
Note: Defense sessions are open to the university community for observation.
The Entrepreneurial Track is designed for aspiring entrepreneurs focused on launching technology-driven ventures and commercializing AI solutions.
Core Engineering Course
24 units
Electives
24 units
Business Intelligence
12 units
Capstone Projects
36 units
Venture Assessment
Required**
Core Courses (24 units): Students select core courses offered by the AICE (41-XXX) or the ECE Program (18-XXX).
Electives (24 units): Students can choose elective courses across approved disciplines (56-XXX, 18-XXX, 41-XXX, or 42-XXX).
Business Intelligence (12 units): Focuses on foundational business and market insights required for tech ventures (may be substituted with approved Aii courses).
Capstone Project (36 units): Under this project framework, students develop, test, and validate a Minimum Viable Product (MVP) in close collaboration with industry experts, academic faculty, and startup mentors.
Venture Assessment (Required): To successfully graduate, students must complete the following milestones:
Submit formal venture documentation and a business pitch deck to [email protected].
Present and defend a viable MVP to the Startup Studio Panel.
Complete all required venture or product revisions before the final semester deadline.
Note: MVP pitch sessions are open to the university community for observation.
The AI Innovation Track is tailored for students who want to combine deep engineering expertise with hands-on innovation practice, focusing on building and shipping cutting-edge AI products.
Core Engineering Course
24 units
Core Innovation Course
12 units
Electives
48 units
Innovation Project
12 units
Core Courses (24 units): Students select core courses offered by the AICE program (41-XXX) or the ECE program (18-XXX).
Innovation Courses (12 units): Students take specialized innovation and product development coursework under the 42-XXX designator.
Electives (48 units): Students have the flexibility to choose elective courses across any approved disciplines (56-XXX, 18-XXX, 41-XXX, or 42-XXX).
Innovation Project (12 units): Through CMKL 42-900, students engage in a hands-on project dedicated to designing, building, and deploying real-world AI applications.
